scholarly journals Influence of genotype versus environment interaction on improving upland cotton yield

2017 ◽  
Vol 60 (3) ◽  
pp. 241-246
Author(s):  
Josiane Isabela da Silva Rodrigues ◽  
Luiz Paulo de Carvalho ◽  
Francisco José Correia Farias
Keyword(s):  
Upland Cotton ◽  
Environment Interaction ◽  
Cotton Yield ◽  
Genotype Versus

scholarly journals STABILITY ANALYSIS FOR SEED COTTON YIELD OF NEWLY DEVELOPED UPLAND COTTON GENOTYPES

2021 ◽  
Vol 36 (2) ◽  
pp. 97-100
Author(s):  
S. Abro ◽  
M. T. Rajput ◽  
M. A. Sial ◽  
Z. A. Deho ◽  
M. Rizwan
Keyword(s):  
Upland Cotton ◽  
Regression Coefficient ◽  
Mutation Breeding ◽  
Environment Interaction ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Seed Cotton Yield ◽  
Cotton Genotypes ◽  
The Stability ◽  
Breeding Techniques

Sixteen newly evolved upland cotton strains developed through conventional and mutation breeding techniques along with two commercial check varieties viz., CIM-496 and CRIS-134 were evaluated two years at five locations in province of Sindh, Pakistan. Information was recorded on seed cotton yield from all location and analyzed statistically. To assess the stability for yield between genotypes and stomata studies was performed. The results from the combine analysis of variance depicted that the mean square for seed-cotton yield for genotypes and genotype x environment interaction (G × E) were highly significant. Genotypes NIA-M-30 showed the maximum seed cotton yield (3.509 ton/ha) with low regression coefficient (b=0.893) and deviation from regression coefficient (S2d=0.015). Other four genotypes viz., NIA-80, NIA-83, NIA-Bt-2 and NIA-Perkh also produced higher yield (3.36, 3.32, 3.31and 3.25 ton/ha respectively) with regression coefficient (b=0.972, 0.918, 0.99 and 0.916 respectively) and deviation from regression coefficient (S2d=0.025, 0.003, 0.00 and 0.024 respectively), indicated wide adaptability to the range of environments. While the cotton genotypes NIA-HM-327, NIA-84 and NIA-HM48 showed high regression coefficient (b= 1.204, 1.331 and 1.291 respectively), which suggest their specific adaptation to favourable environments.

Seed Cotton Yield and Fibre Properties of F1 and F2 Hybrids of Upland Cotton

2001 ◽  
Vol 1 (1) ◽  
pp. 48-50
Author(s):  
Mohammad Jurial Balo . ◽  
Abdul Rahim Lakho . ◽  
Hidayatullah Butto . ◽  
Rehmatullah Rind .
Keyword(s):  
Upland Cotton ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Fibre Properties ◽  
Seed Cotton Yield ◽  
F2 Hybrids

scholarly journals Screening of upland cotton genotypes (Gossypium hirsutum L.) against cotton verticillium (Verticillium dahliae Kleb.) Wilt

2019 ◽  
Vol 48 (4) ◽  
pp. 1185-1192
Author(s):  
Sadettin Çelik ◽  
Adem Bardak ◽  
Oktay Erdoğan
Keyword(s):  
Verticillium Wilt ◽  
Upland Cotton ◽  
Wilt Disease ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Gossypium Hirsutum L ◽  
Cotton Genotypes ◽  
Susceptible Control ◽  
Verticillium Dahliae Kleb ◽  
Plot Design

Screening of upland cotton genotypes against Verticillium wilt disease was conducted. The 268 upland cotton genotypes (Carmen and Acala Maxxa cultivar were tolerant- control while cvs. Cukurova 1518 and Acala SJ2 were susceptible-control) were screened against defoliating (PYDV6) and non-defoliating (Vd11) pathotypes of the fungus in a randomized plot design with four replications in growth chamber. Field experiment was established according to the augmented experimental design. Variance analysis was significant (p ≤ 0.05) for all traits against Verticillium wilt. Cvs. Semerkant Uzbek and Taskent 6 were more tolerant than the tolerant-control cultivars against both pathotypes. Most of the genotypes were tolerant in field trial in terms of disease severity that was the lowest for STN K311 genotype in both periods. The highest seed cotton yield was obtained in genotypes as BA119, Okra 204, H-23, Gedera-5, PI 528420 and Acala Royale, which were moderately tolerant to the wilt disease.

Exploring influential plant traits for enhancing upland cotton yield under salt stress

2011 ◽  
Vol 5 (4) ◽  
pp. 443-449 ◽  
Author(s):  
Ghulam Abbas ◽  
Tariq Manzoor Khan ◽  
Jehanzeb Farooq ◽  
Abid Mahmood ◽  
Rana Nadeem Abbas ◽  
...  
Keyword(s):  
Salt Stress ◽  
Upland Cotton ◽  
Plant Traits ◽  
Cotton Yield

scholarly journals Genetic Variability, Heritability and Correlation Studies in F2 Populations of Upland Cotton

2018 ◽  
Vol 61 (3) ◽  
pp. 136-144
Author(s):  
Muhammad Jurial Baloch ◽  
Rehana Lochi ◽  
Wajid Ali Jatoi ◽  
Abdul Wahid Baloch ◽  
Muhammad Ahmed Arain
Keyword(s):  
Upland Cotton ◽  
Block Design ◽  
Fibre Length ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Node Number ◽  
Plant Seed ◽  
Seed Cotton Yield ◽  
Fibre Traits ◽  
Selection Of

A field experiment was conducted at the experimental area of the Department of Plant Breeding & Genetics, Sindh Agriculture University Tandojam, during the year 2014-2015 in order to carry-out genetic analysis in F2 populations of upland cotton. The trial was laid-out in a Randomized Complete Block Design with four replications. The material was consisted of eight parents and ten F2 populations. The analysis of variance revealed significant differences among the parents and F2 populations for all the traits studied except that fibre length was non-significant in parents.  The results further suggested that maximum heritability, higher genetic variances coupled with more genetic gains were expressed by the F2 populations CRIS-134 ´ CRIS-508 and CRIS-134 ´ CIM-598 for 1st sympodial node number; CRIS-134 ´ Neelum- 121 and CRIS-134 ´ CRIS-508 for sympodial branches/plant;  CRIS-342 ´ FH-113 for boll weight;  CRIS- 342 ´ Neelum-121 for bolls/plant, seed cotton yield/plant, lint % and micronaire value and progenies CRIS-342 ´ MNH-886 followed by CRIS-342 ´ Neelum-121  for staple length.  These results also suggested that a number of F2 populations indicated their potential for various seed cotton yield and fibre traits. The phenotypic correlations revealed that most of the traits were significantly and positively associated with seed cotton yield/plant.  However, higher correlations of sympodial branches/plant (r = 0.69**) and bolls/ plant (r = 0.82**) with seed cotton yield indicated that both the traits are more reliable as compared to other traits for selection of higher seed cotton yields. Very interestingly, fibre traits like lint%, fibre length and micronaire were also significantly correlated with seed cotton yield, suggesting that fibre quality traits can be improved without compromising on seed cotton yield. Thus, the material under study is very promising and worthy of selection to improve many traits simultaneously.

scholarly journals Genetic analysis of yield components and fiber quality parameters in upland cotton

1970 ◽  
pp. 13-19
Author(s):  
Bilal Nawaz, Saira Sattar, Tanwir Ahmad Malik
Keyword(s):  
Upland Cotton ◽  
Phenotypic Correlation ◽  
Cotton Yield ◽  
Seed Cotton ◽  
Seed Cotton Yield ◽  
Maximum Value ◽  
Fiber Fineness ◽  
Significant Difference ◽  
Boll Weight ◽  
Seed Index

The experiment was laid to analyze genetic features, genotypic and phenotypic correlation coefficients, path analysis with regression analysis among yield contributing traits in a selected F3 populations of upland cotton including parents. In this research experiment ANOVA showed significant difference among all individual plants in F3 populations. Monopodia per plant and bolls per plant possessed maximum value of PCV% and GCV%. Maximum broad sense heritability (≥ 90) was found in all recorded traits except seeds per boll, fiber length and lint percentage. Correlation studies revealed that Seed cotton yield positively correlated with all yield contributing traits i.e. plant height, monopodial branches per plant, Number of bolls per plant, boll weight, lint weight, seed index, lint index, seeds per boll, fiber fineness, fiber strength and fiber uniformity at both genotypic and phenotypic level whereas it depicted negative relationship with staple length. Path coefficient analysis showed that maximum direct positive effect was found of lint weight (2.6005) on seed cotton yield followed fiber fineness (1.2628), seed index (1.1449) and bolls per plant (1.0027). Regression study exhibited that maximum value of R2 for lint weight (0.9509) and boll weight (0.3735) depicted that 95.09% and 37.35% variation in the seed cotton yield, due to its relationship with lint weight and boll weight. It is concluded that there is a great genetic potential in F3 populations for mostly yield contributing traits for further enhancing yield. So those traits should be used as selection criteria during breeding for yield.

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